Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.3 B

Variable types

Text4
Categorical1

Dataset

Description경상남도 거제시 농약판매업등록현황에 대한 자료입니다. 상호, 주소, 전화번호, 대표자명, 기준일에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079239

Alerts

기준일 has constant value ""Constant
상호 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:22:26.745402
Analysis finished2023-12-10 23:22:27.158495
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T08:22:27.320505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.44
Min length4

Characters and Unicode

Total characters211
Distinct characters53
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row제일농약종묘사
2nd row하청농업협동조합
3rd row일운농약사
4th row심원농약사
5th row중앙종묘농약사
ValueCountFrequency (%)
제일농약종묘사 1
 
4.0%
사등농업협동조합 1
 
4.0%
동신농약사 1
 
4.0%
장목농업협동조합(외포지점 1
 
4.0%
하청농업협동조합(칠천지점 1
 
4.0%
장승포농업협동조합(장승포지점 1
 
4.0%
거제원예농약종묘사 1
 
4.0%
동남부농업협동조합(동부지점 1
 
4.0%
장승포농업협동조합 1
 
4.0%
장목농업협동조합 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T08:22:27.773439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 21
 
10.0%
동 18
 
8.5%
협 14
 
6.6%
업 14
 
6.6%
조 14
 
6.6%
합 14
 
6.6%
사 10
 
4.7%
약 7
 
3.3%
( 5
 
2.4%
) 5
 
2.4%
Other values (43) 89
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
95.3%
Open Punctuation 5
 
2.4%
Close Punctuation 5
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 21
 
10.4%
동 18
 
9.0%
협 14
 
7.0%
업 14
 
7.0%
조 14
 
7.0%
합 14
 
7.0%
사 10
 
5.0%
약 7
 
3.5%
점 5
 
2.5%
장 5
 
2.5%
Other values (41) 79
39.3%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
95.3%
Common 10
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 21
 
10.4%
동 18
 
9.0%
협 14
 
7.0%
업 14
 
7.0%
조 14
 
7.0%
합 14
 
7.0%
사 10
 
5.0%
약 7
 
3.5%
점 5
 
2.5%
장 5
 
2.5%
Other values (41) 79
39.3%
Common
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
95.3%
ASCII 10
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 21
 
10.4%
동 18
 
9.0%
협 14
 
7.0%
업 14
 
7.0%
조 14
 
7.0%
합 14
 
7.0%
사 10
 
5.0%
약 7
 
3.5%
점 5
 
2.5%
장 5
 
2.5%
Other values (41) 79
39.3%
ASCII
ValueCountFrequency (%)
( 5
50.0%
) 5
50.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T08:22:28.037259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.92
Min length15

Characters and Unicode

Total characters498
Distinct characters57
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 고현로 85
2nd row경상남도 거제시 하청면 하청로 34
3rd row경상남도 거제시 일운면 지세포로 101
4th row경상남도 거제시 동부면 동부로 4
5th row경상남도 거제시 거제면 기성로 33
ValueCountFrequency (%)
경상남도 25
20.7%
거제시 25
20.7%
고현로 4
 
3.3%
하청면 3
 
2.5%
거제면 3
 
2.5%
거제남서로 2
 
1.7%
장승포로 2
 
1.7%
장목면 2
 
1.7%
읍내로2길 2
 
1.7%
동부면 2
 
1.7%
Other values (46) 51
42.1%
2023-12-11T08:22:28.458915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
19.3%
거 33
 
6.6%
제 33
 
6.6%
남 28
 
5.6%
시 26
 
5.2%
경 25
 
5.0%
도 25
 
5.0%
상 25
 
5.0%
로 21
 
4.2%
면 17
 
3.4%
Other values (47) 169
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
65.5%
Space Separator 96
 
19.3%
Decimal Number 73
 
14.7%
Dash Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 33
 
10.1%
제 33
 
10.1%
남 28
 
8.6%
시 26
 
8.0%
경 25
 
7.7%
도 25
 
7.7%
상 25
 
7.7%
로 21
 
6.4%
면 17
 
5.2%
길 9
 
2.8%
Other values (35) 84
25.8%
Decimal Number
ValueCountFrequency (%)
1 17
23.3%
3 14
19.2%
2 13
17.8%
0 7
9.6%
4 7
9.6%
6 4
 
5.5%
8 4
 
5.5%
9 3
 
4.1%
5 3
 
4.1%
7 1
 
1.4%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
65.5%
Common 172
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 33
 
10.1%
제 33
 
10.1%
남 28
 
8.6%
시 26
 
8.0%
경 25
 
7.7%
도 25
 
7.7%
상 25
 
7.7%
로 21
 
6.4%
면 17
 
5.2%
길 9
 
2.8%
Other values (35) 84
25.8%
Common
ValueCountFrequency (%)
96
55.8%
1 17
 
9.9%
3 14
 
8.1%
2 13
 
7.6%
0 7
 
4.1%
4 7
 
4.1%
6 4
 
2.3%
8 4
 
2.3%
- 3
 
1.7%
9 3
 
1.7%
Other values (2) 4
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
65.5%
ASCII 172
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
55.8%
1 17
 
9.9%
3 14
 
8.1%
2 13
 
7.6%
0 7
 
4.1%
4 7
 
4.1%
6 4
 
2.3%
8 4
 
2.3%
- 3
 
1.7%
9 3
 
1.7%
Other values (2) 4
 
2.3%
Hangul
ValueCountFrequency (%)
거 33
 
10.1%
제 33
 
10.1%
남 28
 
8.6%
시 26
 
8.0%
경 25
 
7.7%
도 25
 
7.7%
상 25
 
7.7%
로 21
 
6.4%
면 17
 
5.2%
길 9
 
2.8%
Other values (35) 84
25.8%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T08:22:28.641045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row055-635-7302
2nd row055-636-5805
3rd row055-681-0386
4th row055-634-4566
5th row055-632-3654
ValueCountFrequency (%)
055-635-7302 1
 
4.0%
055-632-5721 1
 
4.0%
055-636-0533 1
 
4.0%
055-636-6044 1
 
4.0%
055-633-9077 1
 
4.0%
055-681-2363 1
 
4.0%
055-632-8570 1
 
4.0%
055-633-2005 1
 
4.0%
055-688-5798 1
 
4.0%
055-635-0109 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T08:22:28.919569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 67
22.3%
- 50
16.7%
0 44
14.7%
6 37
12.3%
3 35
11.7%
8 17
 
5.7%
2 13
 
4.3%
1 12
 
4.0%
4 10
 
3.3%
7 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 67
26.8%
0 44
17.6%
6 37
14.8%
3 35
14.0%
8 17
 
6.8%
2 13
 
5.2%
1 12
 
4.8%
4 10
 
4.0%
7 9
 
3.6%
9 6
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 67
22.3%
- 50
16.7%
0 44
14.7%
6 37
12.3%
3 35
11.7%
8 17
 
5.7%
2 13
 
4.3%
1 12
 
4.0%
4 10
 
3.3%
7 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 67
22.3%
- 50
16.7%
0 44
14.7%
6 37
12.3%
3 35
11.7%
8 17
 
5.7%
2 13
 
4.3%
1 12
 
4.0%
4 10
 
3.3%
7 9
 
3.0%

대표자명
Text

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T08:22:29.083316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.16
Min length2

Characters and Unicode

Total characters79
Distinct characters49
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)76.0%

Sample

1st row이철주
2nd row정흥섭
3rd row윤대산
4th row심광
5th row김재환
ValueCountFrequency (%)
신종배 2
 
7.7%
원희철 2
 
7.7%
정흥섭 2
 
7.7%
손정신 1
 
3.8%
제서영 1
 
3.8%
이철주 1
 
3.8%
김임준 1
 
3.8%
박일자 1
 
3.8%
권순옥 1
 
3.8%
유동선 1
 
3.8%
Other values (13) 13
50.0%
2023-12-11T08:22:29.416415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
6.3%
정 5
 
6.3%
신 3
 
3.8%
배 3
 
3.8%
영 3
 
3.8%
자 3
 
3.8%
종 3
 
3.8%
철 3
 
3.8%
이 3
 
3.8%
서 2
 
2.5%
Other values (39) 46
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
97.5%
Other Punctuation 1
 
1.3%
Space Separator 1
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
6.5%
정 5
 
6.5%
신 3
 
3.9%
배 3
 
3.9%
영 3
 
3.9%
자 3
 
3.9%
종 3
 
3.9%
철 3
 
3.9%
이 3
 
3.9%
서 2
 
2.6%
Other values (37) 44
57.1%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
97.5%
Common 2
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
6.5%
정 5
 
6.5%
신 3
 
3.9%
배 3
 
3.9%
영 3
 
3.9%
자 3
 
3.9%
종 3
 
3.9%
철 3
 
3.9%
이 3
 
3.9%
서 2
 
2.6%
Other values (37) 44
57.1%
Common
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
97.5%
ASCII 2
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
6.5%
정 5
 
6.5%
신 3
 
3.9%
배 3
 
3.9%
영 3
 
3.9%
자 3
 
3.9%
종 3
 
3.9%
철 3
 
3.9%
이 3
 
3.9%
서 2
 
2.6%
Other values (37) 44
57.1%
ASCII
ValueCountFrequency (%)
, 1
50.0%
1
50.0%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2017-11-24
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-11-24
2nd row2017-11-24
3rd row2017-11-24
4th row2017-11-24
5th row2017-11-24

Common Values

ValueCountFrequency (%)
2017-11-24 25
100.0%

Length

2023-12-11T08:22:29.531116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:22:29.621620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-11-24 25
100.0%

Correlations

2023-12-11T08:22:29.669861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호주소전화번호대표자명
상호1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
대표자명1.0001.0001.0001.000

Missing values

2023-12-11T08:22:27.007788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:22:27.116278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

상호주소전화번호대표자명기준일
0제일농약종묘사경상남도 거제시 고현로 85055-635-7302이철주2017-11-24
1하청농업협동조합경상남도 거제시 하청면 하청로 34055-636-5805정흥섭2017-11-24
2일운농약사경상남도 거제시 일운면 지세포로 101055-681-0386윤대산2017-11-24
3심원농약사경상남도 거제시 동부면 동부로 4055-634-4566심광2017-11-24
4중앙종묘농약사경상남도 거제시 거제면 기성로 33055-632-3654김재환2017-11-24
5성내원예자재사경상남도 거제시 거제면 읍내로2길 27055-632-8979정완규2017-11-24
6신흥농약사경상남도 거제시 하청면 하청로 10055-636-2036이행선2017-11-24
7황씨상회경상남도 거제시 장승포로 49 신부시장055-681-5808김순자2017-11-24
8일운농업협동조합경상남도 거제시 일운면 지세포로 131055-681-0072서영재2017-11-24
9신현농업협동조합경상남도 거제시 고현로11길 23055-632-0040지영배2017-11-24
상호주소전화번호대표자명기준일
15대교상사경상남도 거제시 사등면 덕호신촌2길 2055-634-1382정명자2017-11-24
16장목농업협동조합경상남도 거제시 장목면 거제북로 1206055-635-0109신종배2017-11-24
17장승포농업협동조합경상남도 거제시 아주동 거제대로 3513055-688-5798농협장2017-11-24
18동남부농업협동조합(동부지점)경상남도 거제시 동부면 거제남서로 3086055-633-2005원희철2017-11-24
19거제원예농약종묘사경상남도 거제시 고현로 12길 19055-632-8570유동선2017-11-24
20장승포농업협동조합(장승포지점)경상남도 거제시 장승포로 39-2055-681-2363권순옥2017-11-24
21하청농업협동조합(칠천지점)경상남도 거제시 하청면 연구2길 3-12055-633-9077정흥섭2017-11-24
22장목농업협동조합(외포지점)경상남도 거제시 장목면 외포4길 3055-636-6044신종배2017-11-24
23동신농약사경상남도 거제시 고현로 84055-636-0533박일자2017-11-24
24고현원예종묘경상남도 거제시 고현로 10길 14055-638-5789제서영, 김노열2017-11-24